天天看點
傳回

Centos7 搭建 Flume 采集 Nginx 日志

版本資訊

CentOS: Linux localhost.localdomain 3.10.0-862.el7.x86_64 #1 SMP Fri Apr 20 16:44:24 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux

JDK: Oracle jdk1.8.0_241 , https://www.oracle.com/java/technologies/javase-jdk8-downloads.html 

Hadoop : hadoop-3.2.1.tar.gz

Flume：apache-flume-1.9.0-bin.tar.gz , http://flume.apache.org/download.html

伺服器搭建

Hadoop：CentOS7 部署 Hadoop 3.2.1 (僞分布式)

Nginx： 請參考 CentOS 6.7 配置 yum 安裝 nginx

搭建 Flume

1.下載下傳Flume 的 bin包并解壓到指定目錄 

mkdir /data/server/flume/
wget https://mirrors.tuna.tsinghua.edu.cn/apache/flume/1.9.0/apache-flume-1.9.0-bin.tar.gz
tar zxvf apache-flume-1.9.0-bin.tar.gz
mv apache-flume-1.9.0-bin 1.9.0

2. 安裝JDK

下載下傳Java SDK，前往 https://www.oracle.com/java/technologies/javase-jdk8-downloads.html 下載下傳

rz #選擇你下載下傳好的檔案，上傳到目前目錄下
tar zxvf jdk-8u241-linux-x64.tar.gz

編輯env檔案

cp 1.9.0/conf/flume-env.sh.template 1.9.0/conf/flume-env.sh
vi 1.9.0/conf/flume-env.sh

在檔案末尾添加如下内容：

export JAVA_HOME=/data/server/flume/jdk1.8.0_241/

3. 配置Flume

建立配置檔案 flume.conf

cp 1.9.0/conf/flume-conf.properties.template 1.9.0/conf/flume.conf
vi 1.9.0/conf/flume.conf

添加如下内容：

##配置Agent
myagent.sources = r1
myagent.sinks = k1
myagent.channels = c1

# # 配置Source
myagent.sources.r1.type = exec
myagent.sources.r1.channels = c1
myagent.sources.r1.deserializer.outputCharset = UTF-8
# # 配置需要監控的日志輸出檔案
myagent.sources.r1.command = tail -F /usr/local/nginx/logs/flume-test.access.log
# # 配置Sink
myagent.sinks.k1.type = hdfs
myagent.sinks.k1.channel = c1
myagent.sinks.k1.hdfs.useLocalTimeStamp = true
myagent.sinks.k1.hdfs.path = hdfs://172.16.1.126:9000/flume/nginx_logs/%Y%m%d
myagent.sinks.k1.hdfs.filePrefix = %Y-%m-%d-%H
myagent.sinks.k1.hdfs.fileSuffix = .log
myagent.sinks.k1.hdfs.minBlockReplicas = 1
myagent.sinks.k1.hdfs.fileType = DataStream
myagent.sinks.k1.hdfs.writeFormat = Text
myagent.sinks.k1.hdfs.rollInterval = 86400
myagent.sinks.k1.hdfs.rollSize = 1000000
myagent.sinks.k1.hdfs.rollCount = 10000
myagent.sinks.k1.hdfs.idleTimeout = 0
# # 配置Channel
myagent.channels.c1.type = memory
myagent.channels.c1.capacity = 1000
myagent.channels.c1.transactionCapacity = 100
# # 将三者連接配接
myagent.sources.r1.channel = c1
myagent.sinks.k1.channel = c1

4. 編寫啟動、關閉腳本

start_flume.sh

#!/usr/bin/env bash

CURRENT_DIR=$(pwd)

BIN_DIR="/data/server/flume/1.9.0/"

CHECK_PID="ps aux | grep \"${BIN_DIR}\" | grep 'flume' | grep -v grep | awk '{print \$2}'"

cd ${BIN_DIR}

FLUME_PID=$(eval ${CHECK_PID})

if [ ""x != "${FLUME_PID}"x ] ;then
  echo "Flume is running, please kill the flume process"
  cd ${CURRENT_DIR}
  exit 0
fi

nohup ./bin/flume-ng agent --conf ./conf -f ./conf/flume.conf --name myagent > ../nohup.out 2>&1 &

#等3秒後執行下一條
sleep 3

FLUME_PID=$(eval ${CHECK_PID})

if [ ""x != "${FLUME_PID}"x ] ;then
  echo "Flume is running!"
fi

cd ${CURRENT_DIR}

stop_flume.sh

#!/usr/bin/env bash

CURRENT_DIR=$(pwd)

BIN_DIR="/data/server/flume/1.9.0/"

CHECK_PID="ps aux | grep \"${BIN_DIR}\" | grep 'flume' | grep -v grep | awk '{print \$2}'"

cd ${BIN_DIR}

FLUME_PID=$(eval ${CHECK_PID})

if [ ""x == "${FLUME_PID}"x ] ;then
  echo "Flume is no runnig"
  cd ${CURRENT_DIR}
  exit 0
fi

kill -9 $FLUME_PID

echo "Flume is stop!"

cd ${CURRENT_DIR}

至此配置完畢！

服務驗證 

1.啟動服務：

./1.9.0/bin/flume-ng agent --conf 1.9.0/conf/ -f 1.9.0/conf/flume.conf --name myagent

出現如下報錯：

Info: Sourcing environment configuration script /data/server/flume/1.9.0/conf/flume-env.sh
Info: Including Hadoop libraries found via (/data/server/hadoop/3.2.1/bin/hadoop) for HDFS access
Info: Including Hive libraries found via () for Hive access
+ exec /data/server/flume/jdk1.8.0_241//bin/java -Xmx20m -cp '/data/server/flume/1.9.0/conf:/data/server/flume/1.9.0/lib/*:/data/server/hadoop/3.2.1/etc/hadoop:/data/server/hadoop/3.2.1/share/hadoop/common/lib/*:/data/server/hadoop/3.2.1/share/hadoop/common/*:/data/server/hadoop/3.2.1/share/hadoop/hdfs:/data/server/hadoop/3.2.1/share/hadoop/hdfs/lib/*:/data/server/hadoop/3.2.1/share/hadoop/hdfs/*:/data/server/hadoop/3.2.1/share/hadoop/mapreduce/lib/*:/data/server/hadoop/3.2.1/share/hadoop/mapreduce/*:/data/server/hadoop/3.2.1/share/hadoop/yarn:/data/server/hadoop/3.2.1/share/hadoop/yarn/lib/*:/data/server/hadoop/3.2.1/share/hadoop/yarn/*:/lib/*' -Djava.library.path=:/data/server/hadoop/3.2.1/lib/native org.apache.flume.node.Application -f 1.9.0/conf/flume.conf --name myagent
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/data/server/flume/1.9.0/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/data/server/hadoop/3.2.1/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Exception in thread "SinkRunner-PollingRunner-DefaultSinkProcessor" java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V
    at org.apache.hadoop.conf.Configuration.set(Configuration.java:1357)
    at org.apache.hadoop.conf.Configuration.set(Configuration.java:1338)
    at org.apache.hadoop.conf.Configuration.setBoolean(Configuration.java:1679)
    at org.apache.flume.sink.hdfs.BucketWriter.open(BucketWriter.java:221)
    at org.apache.flume.sink.hdfs.BucketWriter.append(BucketWriter.java:572)
    at org.apache.flume.sink.hdfs.HDFSEventSink.process(HDFSEventSink.java:412)
    at org.apache.flume.sink.DefaultSinkProcessor.process(DefaultSinkProcessor.java:67)
    at org.apache.flume.SinkRunner$PollingRunner.run(SinkRunner.java:145)
    at java.lang.Thread.run(Thread.java:748)

原因是 guava jar包版本過低，前往 Maven 倉庫下載下傳一個最新的包：guava-28.1-jre.jar  ，參考：https://blog.csdn.net/GQB1226/article/details/102555820

移除舊版本

mv 1.9.0/lib/guava-11.0.2.jar ./
wget https://repo1.maven.org/maven2/com/google/guava/guava/28.1-jre/guava-28.1-jre.jar -P 1.9.0/lib/

再次手動啟動，控制台輸出，顯示建立了一個零時檔案，hdfs://172.16.1.126:9000/flume/nginx_logs/20200331/2020-03-31-05.1585647655051.log.tmp：

31 Mar 2020 05:40:50,916 INFO  [lifecycleSupervisor-1-0] (org.apache.flume.node.PollingPropertiesFileConfigurationProvider.start:62)  - Configuration provider starting
31 Mar 2020 05:40:50,921 INFO  [conf-file-poller-0] (org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run:138)  - Reloading configuration file:./conf/flume.conf
31 Mar 2020 05:40:50,927 INFO  [conf-file-poller-0] (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addComponentConfig:1203)  - Processing:k131 Mar 2020 05:40:50,929 INFO  [conf-file-poller-0] (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addProperty:1117)  - Added sinks: k1 Agent: myagent
31 Mar 2020 05:40:50,929 INFO  [conf-file-poller-0] (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.addComponentConfig:1203)  - Processing:r131 Mar 2020 05:40:50,935 WARN  [conf-file-poller-0] (org.apache.flume.conf.FlumeConfiguration$AgentConfiguration.validateConfigFilterSet:623)  - Agent configuration for 'myagent' has no configfilters.
31 Mar 2020 05:40:50,956 INFO  [conf-file-poller-0] (org.apache.flume.conf.FlumeConfiguration.validateConfiguration:163)  - Post-validation flume configuration contains configuration for agents: [myagent]
31 Mar 2020 05:40:50,957 INFO  [conf-file-poller-0] (org.apache.flume.node.AbstractConfigurationProvider.loadChannels:151)  - Creating channels
31 Mar 2020 05:40:50,963 INFO  [conf-file-poller-0] (org.apache.flume.channel.DefaultChannelFactory.create:42)  - Creating instance of channel c1 type memory
31 Mar 2020 05:40:50,967 INFO  [conf-file-poller-0] (org.apache.flume.node.AbstractConfigurationProvider.loadChannels:205)  - Created channel c1
31 Mar 2020 05:40:50,968 INFO  [conf-file-poller-0] (org.apache.flume.source.DefaultSourceFactory.create:41)  - Creating instance of source r1, type exec
31 Mar 2020 05:40:50,974 INFO  [conf-file-poller-0] (org.apache.flume.sink.DefaultSinkFactory.create:42)  - Creating instance of sink: k1, type: hdfs
31 Mar 2020 05:40:50,983 INFO  [conf-file-poller-0] (org.apache.flume.node.AbstractConfigurationProvider.getConfiguration:120)  - Channel c1 connected to [r1, k1]
31 Mar 2020 05:40:50,985 INFO  [conf-file-poller-0] (org.apache.flume.node.Application.startAllComponents:162)  - Starting new configuration:{ sourceRunners:{r1=EventDrivenSourceRunner: { source:org.apache.flume.source.ExecSource{name:r1,state:IDLE} }} sinkRunners:{k1=SinkRunner: { policy:org.apache.flume.sink.DefaultSinkProcessor@7007686a counterGroup:{ name:null counters:{} } }} channels:{c1=org.apache.flume.channel.MemoryChannel{name: c1}} }
31 Mar 2020 05:40:50,986 INFO  [conf-file-poller-0] (org.apache.flume.node.Application.startAllComponents:169)  - Starting Channel c1
31 Mar 2020 05:40:51,032 INFO  [lifecycleSupervisor-1-0] (org.apache.flume.instrumentation.MonitoredCounterGroup.register:119)  - Monitored counter group for type: CHANNEL, name: c1: Successfully registered new MBean.
31 Mar 2020 05:40:51,032 INFO  [lifecycleSupervisor-1-0] (org.apache.flume.instrumentation.MonitoredCounterGroup.start:95)  - Component type: CHANNEL, name: c1 started
31 Mar 2020 05:40:51,034 INFO  [conf-file-poller-0] (org.apache.flume.node.Application.startAllComponents:196)  - Starting Sink k1
31 Mar 2020 05:40:51,035 INFO  [conf-file-poller-0] (org.apache.flume.node.Application.startAllComponents:207)  - Starting Source r1
31 Mar 2020 05:40:51,035 INFO  [lifecycleSupervisor-1-4] (org.apache.flume.source.ExecSource.start:170)  - Exec source starting with command: tail -F /usr/local/nginx/logs/hadoop.access.log
31 Mar 2020 05:40:51,036 INFO  [lifecycleSupervisor-1-1] (org.apache.flume.instrumentation.MonitoredCounterGroup.register:119)  - Monitored counter group for type: SINK, name: k1: Successfully registered new MBean.
31 Mar 2020 05:40:51,036 INFO  [lifecycleSupervisor-1-1] (org.apache.flume.instrumentation.MonitoredCounterGroup.start:95)  - Component type: SINK, name: k1 started
31 Mar 2020 05:40:51,036 INFO  [lifecycleSupervisor-1-4] (org.apache.flume.instrumentation.MonitoredCounterGroup.register:119)  - Monitored counter group for type: SOURCE, name: r1: Successfully registered new MBean.
31 Mar 2020 05:40:51,037 INFO  [lifecycleSupervisor-1-4] (org.apache.flume.instrumentation.MonitoredCounterGroup.start:95)  - Component type: SOURCE, name:r1 started
31 Mar 2020 05:40:55,050 INFO  [SinkRunner-PollingRunner-DefaultSinkProcessor] (org.apache.flume.sink.hdfs.HDFSDataStream.configure:57)  - Serializer = TEXT, UseRawLocalFileSystem = false
31 Mar 2020 05:40:55,167 INFO  [SinkRunner-PollingRunner-DefaultSinkProcessor] (org.apache.flume.sink.hdfs.BucketWriter.open:246)  - Creating hdfs://172.16.1.126:9000/flume/nginx_logs/20200331/2020-03-31-05.1585647655051.log.tmp
31 Mar 2020 05:40:59,225 INFO  [Thread-9] (org.apache.hadoop.hdfs.protocol.datatransfer.sasl.SaslDataTransferClient.checkTrustAndSend:239)  - SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false

登陸Hadoop檢視： http://172.16.1.126:9870/explorer.html#/flume/nginx_logs/20200331

Centos7 搭建 Flume 采集 Nginx 日志

編寫一個才是腳本，mockRequest2NginxForTestFlume.sh：

#!/bin/bash
step=1 #間隔的秒數，不能大于60

user_agent_list=("Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:74.0) Gecko/20100101 Firefox/74.0")
user_agent_list[1]="Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36"

referer_list=("https://www.baidu.com" "https://www.qq.com" "https://www.sina.com" "https://weibo.com/")

while [ 1 ]
do
    random=$((RANDOM))
    num=$(((RANDOM%7)+1))
    agent=$(((RANDOM%2)))
    referer=$(((RANDOM%4)))
    url="http://172.16.1.126:8881/"$num".html?r="$random;
    url="http://172.16.1.126:8881/888.html";
    echo " `date +%Y-%m-%d\ %H:%M:%S` get $url"

    #curl http://192.168.75.137/1.html #調用連結
    curl -s -A "${user_agent_list[$agent]}" -e "${referer_list[$referer]}" $url > /dev/null

    sleep $step
done

監控 HDFS檔案：

[root@localhost lib]# hadoop fs -tail -f /flume/nginx_logs/20200331/2020-03-31-05.1585647655051.log.tmp
2020-03-31 05:47:31,491 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36","request_body":"-"}
{"remote_addr":"172.16.39.19","http_x_forwarded_for":"-","remote_user":"-","time_local":"31/Mar/2020:04:53:30 -0400","server_protocol":"HTTP/1.1","request_time":"0.000","request_method":"GET","request_uri":"/999.html","status":404,"body_bytes_sent":193,"http_token":"-","http_referer":"-","http_user_agent":"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36","request_body":"-"}
{"remote_addr":"172.16.39.19","http_x_forwarded_for":"-","remote_user":"-","time_local":"31/Mar/2020:04:54:05 -0400","server_protocol":"HTTP/1.1","request_time":"0.000","request_method":"GET","request_uri":"/888.html","status":404,"body_bytes_sent":193,"http_token":"-","http_referer":"-","http_user_agent":"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36","request_body":"-"}

可見日志已經收集進Hadoop裡！

Ok, 完結撒花！！！

PS：

大資料可視化之Nginx日志分析及web圖表展示（HDFS+Flume+Spark+Nginx+Highcharts）大資料可視化之Nginx日志分析及web圖表展示（HDFS+Flume+Spark+Nginx+Highcharts）

上一篇: 智能EDA浪潮即将來襲，ChatGPT如何助力設計晶片
下一篇: 深入淺出C#結構體